代码随想录算法训练营Day58|动态规划16

代码随想录算法训练营Day58|动态规划16


文章目录

  • 代码随想录算法训练营Day58|动态规划16
  • 一、583. 两个字符串的删除操作
  • 二、72. 编辑距离


一、583. 两个字符串的删除操作

class Solution {
    public int minDistance(String word1, String word2) {
        int len1 = word1.length();
        int len2 = word2.length();
        int[][] dp = new int[len1 + 1][len2 + 1];

        for (int i = 1; i <= len1; i++) {
            for (int j = 1; j <= len2; j++) {
                if (word1.charAt(i - 1) == word2.charAt(j - 1)) {
                    dp[i][j] = dp[i - 1][j - 1] + 1;
                } else {
                    dp[i][j] = Math.max(dp[i - 1][j], dp[i][j - 1]);
                }
            }
        }

        return len1 + len2 - dp[len1][len2] * 2;
    }
}

二、72. 编辑距离

class Solution {
public int minDistance(String word1, String word2) {
    int m = word1.length();
    int n = word2.length();
    int[][] dp = new int[m + 1][n + 1];
    // 初始化
    for (int i = 1; i <= m; i++) {
        dp[i][0] =  i;
    }
    for (int j = 1; j <= n; j++) {
        dp[0][j] = j;
    }
    for (int i = 1; i <= m; i++) {
        for (int j = 1; j <= n; j++) {
            if (word1.charAt(i - 1) == word2.charAt(j - 1)) {
                dp[i][j] = dp[i - 1][j - 1];
            } else {
                dp[i][j] = Math.min(Math.min(dp[i - 1][j - 1], dp[i][j - 1]), dp[i - 1][j]) + 1;
            }
        }
    }
    return dp[m][n];
}
}

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